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N-BLR, a primate-specific non-coding transcript leads to colorectal cancer invasion and migration

Overview of attention for article published in Genome Biology, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 blog
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14 X users

Citations

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91 Dimensions

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75 Mendeley
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Title
N-BLR, a primate-specific non-coding transcript leads to colorectal cancer invasion and migration
Published in
Genome Biology, May 2017
DOI 10.1186/s13059-017-1224-0
Pubmed ID
Authors

Isidore Rigoutsos, Sang Kil Lee, Su Youn Nam, Simone Anfossi, Barbara Pasculli, Martin Pichler, Yi Jing, Cristian Rodriguez-Aguayo, Aristeidis G. Telonis, Simona Rossi, Cristina Ivan, Tina Catela Ivkovic, Linda Fabris, Peter M. Clark, Hui Ling, Masayoshi Shimizu, Roxana S. Redis, Maitri Y. Shah, Xinna Zhang, Yoshinaga Okugawa, Eun Jung Jung, Aristotelis Tsirigos, Li Huang, Jana Ferdin, Roberta Gafà, Riccardo Spizzo, Milena S. Nicoloso, Anurag N. Paranjape, Maryam Shariati, Aida Tiron, Jen Jen Yeh, Raul Teruel-Montoya, Lianchun Xiao, Sonia A. Melo, David Menter, Zhi-Qin Jiang, Elsa R. Flores, Massimo Negrini, Ajay Goel, Menashe Bar-Eli, Sendurai A. Mani, Chang Gong Liu, Gabriel Lopez-Berestein, Ioana Berindan-Neagoe, Manel Esteller, Scott Kopetz, Giovanni Lanza, George A. Calin

Abstract

Non-coding RNAs have been drawing increasing attention in recent years as functional data suggest that they play important roles in key cellular processes. N-BLR is a primate-specific long non-coding RNA that modulates the epithelial-to-mesenchymal transition, facilitates cell migration, and increases colorectal cancer invasion. We performed multivariate analyses of data from two independent cohorts of colorectal cancer patients and show that the abundance of N-BLR is associated with tumor stage, invasion potential, and overall patient survival. Through in vitro and in vivo experiments we found that N-BLR facilitates migration primarily via crosstalk with E-cadherin and ZEB1. We showed that this crosstalk is mediated by a pyknon, a short ~20 nucleotide-long DNA motif contained in the N-BLR transcript and is targeted by members of the miR-200 family. In light of these findings, we used a microarray to investigate the expression patterns of other pyknon-containing genomic loci. We found multiple such loci that are differentially transcribed between healthy and diseased tissues in colorectal cancer and chronic lymphocytic leukemia. Moreover, we identified several new loci whose expression correlates with the colorectal cancer patients' overall survival. The primate-specific N-BLR is a novel molecular contributor to the complex mechanisms that underlie metastasis in colorectal cancer and a potential novel biomarker for this disease. The presence of a functional pyknon within N-BLR and the related finding that many more pyknon-containing genomic loci in the human genome exhibit tissue-specific and disease-specific expression suggests the possibility of an alternative class of biomarkers and therapeutic targets that are primate-specific.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Ph. D. Student 10 13%
Student > Master 9 12%
Student > Bachelor 6 8%
Student > Doctoral Student 6 8%
Other 11 15%
Unknown 20 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 24%
Medicine and Dentistry 14 19%
Agricultural and Biological Sciences 9 12%
Immunology and Microbiology 3 4%
Nursing and Health Professions 2 3%
Other 8 11%
Unknown 21 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 March 2018.
All research outputs
#2,277,559
of 25,382,440 outputs
Outputs from Genome Biology
#1,875
of 4,468 outputs
Outputs of similar age
#41,821
of 327,119 outputs
Outputs of similar age from Genome Biology
#43
of 67 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.